domain adaptation 1fine-grained recognition 1logit calibration 1multi-expert models 1vision-language models 1zero-shot classification 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration
Zheng Zeng, Deepak Sridhar, Nuno Vasconcelos
The paper introduces MED-DSLC, a lightweight method that restores global logit comparability across independently fine‑tuned vision‑language model experts by using domain supervisi…
cs.CV2026
Video Reasoning without Training
Deepak Sridhar, Kartikeya Bhardwaj, Jeya Pradha Jeyaraj +3
Video reasoning using Large Multimodal Models (LMMs) relies on costly reinforcement learning (RL) and verbose chain-of-thought, resulting in substantial computational overhead duri…
cs.CV2025
SCHEME: Scalable Channel Mixer for Vision Transformers
Deepak Sridhar, Yunsheng Li, Nuno Vasconcelos
Vision Transformers have achieved impressive performance in many vision tasks. While the token mixer or attention block has been studied in great detail, much less research has bee…